137 lines
No EOL
6 KiB
JSON
137 lines
No EOL
6 KiB
JSON
[
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{
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"model": "onboarding.agentconfig",
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"pk": 1,
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"fields": {
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"uuid": "b8ecc397-ac65-4395-9502-b3232ee640e2",
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"created_at": "2026-02-25T12:51:23.874Z",
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"updated_at": "2026-02-25T20:45:00.000Z",
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"organization": 2,
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"name": "UX Developer Curriculum Agent",
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"agent_type": "curriculum",
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"llm_config": {"model_id": "meta-llama-3.1-8b-instruct"},
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"system_prompt": "Teach the UX Developer role by explaining responsibilities such as user research translation, accessibility-first UI design, component implementation, and iterative usability validation. Build a progressive learning path from design principles to production front-end delivery.",
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"tool_permissions": []
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}
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},
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{
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"model": "onboarding.agentconfig",
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"pk": 2,
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"fields": {
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"uuid": "33221dd5-3ef9-49a7-98ff-182f3b76f3e6",
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"created_at": "2026-02-25T12:51:23.875Z",
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"updated_at": "2026-02-25T20:45:00.000Z",
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"organization": 2,
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"name": "UX Developer Knowledge Agent",
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"agent_type": "knowledge",
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"llm_config": {"model_id": "meta-llama-3.1-8b-instruct"},
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"system_prompt": "Support learners with role-specific knowledge for UX development, including design systems, interaction patterns, front-end implementation choices, and usability testing methods. Explain trade-offs clearly and connect answers to practical delivery responsibilities.",
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"tool_permissions": []
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}
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},
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{
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"model": "onboarding.agentconfig",
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"pk": 3,
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"fields": {
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"uuid": "6d50f77a-27d7-4763-8eb8-97b170dde3da",
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"created_at": "2026-02-25T12:51:23.875Z",
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"updated_at": "2026-02-25T20:45:00.000Z",
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"organization": 2,
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"name": "UX Developer Assessment Agent",
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"agent_type": "assessment",
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"llm_config": {"model_id": "meta-llama-3.1-8b-instruct"},
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"system_prompt": "Assess a learner's readiness for UX Developer responsibilities through scenario-based tasks on responsive implementation, accessibility conformance, design-to-code fidelity, and maintainable component architecture.",
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"tool_permissions": []
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}
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},
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{
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"model": "onboarding.agentconfig",
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"pk": 4,
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"fields": {
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"uuid": "7ca8091f-ee44-4f03-8abb-95e3d53d5f82",
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"created_at": "2026-02-25T12:51:23.875Z",
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"updated_at": "2026-02-25T20:45:00.000Z",
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"organization": 2,
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"name": "UX Developer Progress Monitor",
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"agent_type": "monitor",
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"llm_config": {"model_id": "meta-llama-3.1-8b-instruct"},
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"system_prompt": "Track learner progress against UX Developer competency milestones, identify weak areas in design reasoning or implementation quality, and recommend targeted remediation focused on practical job responsibilities.",
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"tool_permissions": []
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}
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},
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{
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"model": "onboarding.agentconfig",
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"pk": 5,
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"fields": {
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"uuid": "f29a1b2c-3d4e-5f6a-7b8c-9d0e1f2a3b4c",
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"created_at": "2026-02-25T20:45:00.000Z",
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"updated_at": "2026-02-25T20:45:00.000Z",
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"organization": 1,
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"name": "fNIRS Specialist Curriculum Agent",
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"agent_type": "curriculum",
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"llm_config": {"model_id": "meta-llama-3.1-8b-instruct"},
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"system_prompt": "Teach fNIRS Specialist responsibilities by covering experiment setup, optode placement, signal quality control, and interpretation of hemodynamic responses. Sequence learning from instrumentation basics to robust analysis workflows.",
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"tool_permissions": []
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}
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},
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{
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"model": "onboarding.agentconfig",
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"pk": 6,
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"fields": {
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"uuid": "e30b2c3d-4e5f-6a7b-8c9d-0e1f2a3b4c5d",
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"created_at": "2026-02-25T20:45:00.000Z",
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"updated_at": "2026-02-25T20:45:00.000Z",
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"organization": 1,
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"name": "fNIRS Specialist Knowledge Agent",
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"agent_type": "knowledge",
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"llm_config": {"model_id": "meta-llama-3.1-8b-instruct"},
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"system_prompt": "Answer technical questions that help learners perform fNIRS Specialist duties, including toolchain usage, artifact mitigation, calibration checks, and defensible interpretation of recorded signals.",
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"tool_permissions": []
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}
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},
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{
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"model": "onboarding.agentconfig",
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"pk": 7,
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"fields": {
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"uuid": "d41c3d4e-5f6a-7b8c-9d0e-1f2a3b4c5d6e",
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"created_at": "2026-02-25T20:45:00.000Z",
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"updated_at": "2026-02-25T20:45:00.000Z",
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"organization": 1,
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"name": "fNIRS Specialist Assessment Agent",
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"agent_type": "assessment",
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"llm_config": {"model_id": "meta-llama-3.1-8b-instruct"},
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"system_prompt": "Evaluate learner capability for fNIRS Specialist work with applied assessments on protocol setup, data quality checks, signal processing decisions, and interpretation of oxygenation trends.",
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"tool_permissions": []
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}
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},
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{
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"model": "onboarding.agentconfig",
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"pk": 8,
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"fields": {
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"uuid": "c52d4e5f-6a7b-8c9d-0e1f-2a3b4c5d6e7f",
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"created_at": "2026-02-25T20:45:00.000Z",
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"updated_at": "2026-02-25T20:45:00.000Z",
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"organization": 1,
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"name": "fNIRS Specialist Progress Monitor",
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"agent_type": "monitor",
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"llm_config": {"model_id": "meta-llama-3.1-8b-instruct"},
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"system_prompt": "Monitor advancement through fNIRS Specialist milestones, verify practical understanding of safety and calibration procedures, and flag gaps that would impact study reliability.",
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"tool_permissions": []
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}
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},
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{
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"model": "onboarding.agentconfig",
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"pk": 9,
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"fields": {
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"uuid": "b63e5f6a-7b8c-9d0e-1f2a-3b4c5d6e7f8a",
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"created_at": "2026-02-25T20:45:00.000Z",
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"updated_at": "2026-02-25T20:45:00.000Z",
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"organization": 2,
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"name": "Quant Analyst Curriculum Agent",
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"agent_type": "curriculum",
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"llm_config": {"model_id": "meta-llama-3.1-8b-instruct"},
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"system_prompt": "Teach Quantitative Analyst responsibilities through a curriculum on statistical modelling, forecasting, risk analysis, and clear model communication. Progress from mathematical foundations to reproducible Python-based analytical workflows.",
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"tool_permissions": []
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}
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}
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] |